National Agrobiodiversity Center, National Academy of Agricultural Science, Suwon 441-707, Korea.
J Integr Plant Biol. 2009 Dec;51(12):1116-25. doi: 10.1111/j.1744-7909.2009.00882.x.
A new heuristic approach was undertaken for the establishment of a core set for the diversity research of rice. As a result, 107 entries were selected from the 10 368 characterized accessions. The core set derived using this new approach provided a good representation of the characterized accessions present in the entire collection. No significant differences for the mean, range, standard deviation and coefficient of variation of each trait were observed between the core and existing collections. We also compared the diversity of core sets established using this Heuristic Core Collection (HCC) approach with those of core sets established using the conventional clustering methods. This modified heuristic algorithm can also be used to select genotype data with allelic richness and reduced redundancy, and to facilitate management and use of large collections of plant genetic resources in a more efficient way.
一种新的启发式方法被用于建立水稻多样性研究的核心集。结果，从 10368 个已鉴定的个体中选择了 107 个个体。使用这种新方法得到的核心集很好地代表了整个集合中存在的已鉴定个体。在核心集和现有集合中，每个性状的平均值、范围、标准差和变异系数之间没有观察到显著差异。我们还比较了使用这种启发式核心集（HCC）方法建立的核心集与使用传统聚类方法建立的核心集的多样性。这种改进的启发式算法也可以用于选择等位基因丰富度和减少冗余的基因型数据，并以更有效的方式管理和利用大量植物遗传资源。
